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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Showing 121130 of 1773 papers

TitleStatusHype
Document-level grammatical error correctionCode1
Masked Language Model ScoringCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Sequence-Level Knowledge DistillationCode1
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